Biosignal Processing : : Fundamentals and Recent Applications with MATLAB ® /

Biosignal Processing : : Fundamentals and Recent Applications with MATLAB ® / / Stefan Bernhard, Andreas Brensing, Karl-Heinz Witte.

This book explains the principles of biosignal processing and its practical applications using MATLAB. Topics include the emergence of biosignals, electrophysiology, analog and digital biosignal processing, signal discretization, electrodes, time and frequency analysis, analog and digital filters, F...

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter DG OWV ebook Paket Lehrbücher Technik und Informatik 2022
VerfasserIn:
Bernhard, Stefan,
Brensing, Andreas,
Witte, Karl-Heinz,
MitwirkendeR:
Bernhard, Stefan,
Place / Publishing House:München ;, Wien : : De Gruyter Oldenbourg, , [2022]
©2022
Year of Publication:2022
Language:English
Series:De Gruyter Textbook
Online Access:
Physical Description:1 online resource (XII, 303 p.)
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245 1 0 |a Biosignal Processing :  |b Fundamentals and Recent Applications with MATLAB ® /  |c Stefan Bernhard, Andreas Brensing, Karl-Heinz Witte. 
264 1 |a München ;  |a Wien :   |b De Gruyter Oldenbourg,   |c [2022] 
264 4 |c ©2022 
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505 0 0 |t Frontmatter --   |t Foreword --   |t Contents --   |t Image credits --   |t 1 Introduction to Biosignal Processing --   |t 2 Fundamentals of Information, Signal and System Theory --   |t 3 Fundamentals of the Formation of Biosignals --   |t 4 Measurement of Biosignals and Analog Signal Processing --   |t 5 Methods for Discrete Processing and Analysis of Biosignals --   |t 6 Applications and Methods in Biosignal Processing --   |t 7 Appendix: Quantity- / Unit Symbols and Important Constants --   |t Bibliography --   |t Index 
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520 |a This book explains the principles of biosignal processing and its practical applications using MATLAB. Topics include the emergence of biosignals, electrophysiology, analog and digital biosignal processing, signal discretization, electrodes, time and frequency analysis, analog and digital filters, Fourier-transformation, z-transformation, pattern recognition, statistical data analysis, physiological modelling and applications of EEG, ECG, EMG, PCG and PPG signals. Additional scientifi c contributions on motion analysis by guest authors Prof. Dr. J. Subke and B. Schneider as well as classification of PPG signals by Dr. U. Hackstein. 
530 |a Issued also in print. 
538 |a Mode of access: Internet via World Wide Web. 
546 |a In English. 
588 0 |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 02. Mai 2023) 
650 4 |a Biosignalverarbeitung. 
650 4 |a Matlab. 
650 4 |a Medizintechnik. 
650 4 |a Signalverarbeitung. 
650 7 |a Technology & Engineering / Biomedical.  |2 bisacsh 
700 1 |a Bernhard, Stefan,   |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Brensing, Andreas,   |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Witte, Karl-Heinz,   |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
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